AI Engineer - Agentic & Generative AI

Description Role: AI Engineer - Agentic & Generative AIExperience: 3 to 5 years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - ComputersLocation: Pune.About SPAR SolutionsSPAR Solutions is a software and AI consulting and services firm delivering enterprise-grade solutions across diverse client industries. Our AI practice spans agentic automation, Generative AI product development, RAG-powered knowledge systems, and data-driven analytics — across the full lifecycle from research and prototyping through production deployment.About the RoleWe are looking for a mid-level Software Engineer with a strong engineering foundation and hands-on Generative and Agentic AI experience. Software engineering fundamentals: Clean code, testability, design patterns, and Delivery discipline are the baseline. Agentic and Generative AI is the focus layer you bring on top. You will contribute directly to client engagements: building agentic pipelines, integrating LLMs, and delivering well-engineered solutions alongside a senior-leaning team. In a consulting environment, the ability to ramp quickly on new domains and technologies is as valuable as your core skill set.Key Responsibilities:Agentic AI DevelopmentBuild and integrate Agentic AI workflows: tool use, memory, planning loops, and MCP integrations using frameworks such as LangChain, LangGraph, AutoGen, or CrewAIImplement RAG pipelines end-to-end: document ingestion, chunking, embedding, vector retrieval, and evaluationIntegrate LLMs via API: prompt engineering, function calling, structured outputs, and context management across providers such as OpenAI, Anthropic, and GeminiUse AI coding agents (Claude Code, Codex, Copilot, or equivalent) as part of day-to-day development; direct and validate AI-generated output effectivelySoftware EngineeringWrite clean, maintainable, production-quality Python code following SOLID principles and established design patternsApply test-driven development practices; write and maintain unit and integration tests as a standard part of deliveryParticipate in code reviews, Agile/Scrum ceremonies, and JIRA-driven delivery workflowsWork within Git-based version control; follow established branching, PR, and code review processesData & AnalyticsBuild data pipelines for ingestion, transformation, and analysis using Python, numpy, and pandasPerform exploratory data analysis; generate charts, graphs, and visual summaries using Matplotlib, Seaborn, Plotly, or equivalentContribute to data quality assessment and transformation workflows as part of broader AI solution deliveryRequired3 to 5 years of software engineering experience with strong, demonstrable Python fundamentalsHands-on experience with at least one agentic AI framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalentExperience prompting and integrating at least one major LLM - OpenAI, Anthropic Claude, Google Gemini, or similarWorking knowledge of RAG concepts - chunking strategies, embeddings, vector stores, and retrieval evaluationFamiliarity with MCP integrations and agentic workflow patternsStrong prompt engineering skills - structured, systematic, and iterative approachWell versed in use of SOLID principles, common design patterns, and clean code practicesTest-driven development and unit testing experienceProficiency with numpy, pandas, and at least one visualization library (Matplotlib, Seaborn, or Plotly)Foundational understanding of ML concepts - how models are trained, data preparation, and the purpose of fine-tuningVS Code or comparable IDE; Git version controlAgile/Scrum experienceStrong written and verbal communication - able to explain technical decisions clearly to non-technical stakeholdersAdaptable and quick to learn - comfortable switching across technology stacks and client domainsDesired:AI coding tools - Claude Code, OpenAI Codex, GitHub Copilot, or similarVector database experience - Pinecone, Weaviate, ChromaDB, Qdrant, or equivalentNLP fundamentals - tokenization, text classification, similarity, named entity recognitionApplied statistics and EDA experience beyond standard pandas workflowsConversational AI or chatbot development experienceCloud platform exposure - AWS, Azure, or GCPWhy SPAR SolutionsWork on real enterprise AI problems across diverse client industries — not internal tooling or incremental maintenanceGrow fast — exposure to agentic AI, RAG, NLP, and data engineering within a single role alongside a senior teamYour contributions ship to real client deployments; ownership is real, not simulatedA team that values clean engineering and intellectual curiosity equallyCompensation competitive with current market standards for this levelContact Details:Talent Acquisition TeamHR Department / SPAR SolutionsAddress: SPAR Solutions India Pvt. Ltd.Pune IT Park, B-503, Bhau Patil Marg, 34 Aundh Road,Bopodi, Pune, Maharashtra, India.Pin Code: 411020.Website: sparsolutions.comLinkedIn: https://www.linkedin.com/company/spar-solutions-llcTwitter: https://twitter.com/sparsolutionsFacebook: https://www.facebook.com/SPARsolutionsDescription Role: AI Engineer - Agentic & Generative AIExperience: 3 to 5 years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - ComputersLocation: Pune.About SPAR SolutionsSPAR Solutions is a software and AI consulting and services firm delivering enterprise-grade solutions across diverse client industries. Our AI practice spans agentic automation, Generative AI product development, RAG-powered knowledge systems, and data-driven analytics — across the full lifecycle from research and prototyping through production deployment.About the RoleWe are looking for a mid-level Software Engineer with a strong engineering foundation and hands-on Generative and Agentic AI experience. Software engineering fundamentals: Clean code, testability, design patterns, and Delivery discipline are the baseline. Agentic and Generative AI is the focus layer you bring on top. You will contribute directly to client engagements: building agentic pipelines, integrating LLMs, and delivering well-engineered solutions alongside a senior-leaning team. In a consulting environment, the ability to ramp quickly on new domains and technologies is as valuable as your core skill set.Key Responsibilities:Agentic AI DevelopmentBuild and integrate Agentic AI workflows: tool use, memory, planning loops, and MCP integrations using frameworks such as LangChain, LangGraph, AutoGen, or CrewAIImplement RAG pipelines end-to-end: document ingestion, chunking, embedding, vector retrieval, and evaluationIntegrate LLMs via API: prompt engineering, function calling, structured outputs, and context management across providers such as OpenAI, Anthropic, and GeminiUse AI coding agents (Claude Code, Codex, Copilot, or equivalent) as part of day-to-day development; direct and validate AI-generated output effectivelySoftware EngineeringWrite clean, maintainable, production-quality Python code following SOLID principles and established design patternsApply test-driven development practices; write and maintain unit and integration tests as a standard part of deliveryParticipate in code reviews, Agile/Scrum ceremonies, and JIRA-driven delivery workflowsWork within Git-based version control; follow established branching, PR, and code review processesData & AnalyticsBuild data pipelines for ingestion, transformation, and analysis using Python, numpy, and pandasPerform exploratory data analysis; generate charts, graphs, and visual summaries using Matplotlib, Seaborn, Plotly, or equivalentContribute to data quality assessment and transformation workflows as part of broader AI solution deliveryRequired3 to 5 years of software engineering experience with strong, demonstrable Python fundamentalsHands-on experience with at least one agentic AI framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalentExperience prompting and integrating at least one major LLM - OpenAI, Anthropic Claude, Google Gemini, or similarWorking knowledge of RAG concepts - chunking strategies, embeddings, vector stores, and retrieval evaluationFamiliarity with MCP integrations and agentic workflow patternsStrong prompt engineering skills - structured, systematic, and iterative approachWell versed in use of SOLID principles, common design patterns, and clean code practicesTest-driven development and unit testing experienceProficiency with numpy, pandas, and at least one visualization library (Matplotlib, Seaborn, or Plotly)Foundational understanding of ML concepts - how models are trained, data preparation, and the purpose of fine-tuningVS Code or comparable IDE; Git version controlAgile/Scrum experienceStrong written and verbal communication - able to explain technical decisions clearly to non-technical stakeholdersAdaptable and quick to learn - comfortable switching across technology stacks and client domainsDesired:AI coding tools - Claude Code, OpenAI Codex, GitHub Copilot, or similarVector database experience - Pinecone, Weaviate, ChromaDB, Qdrant, or equivalentNLP fundamentals - tokenization, text classification, similarity, named entity recognitionApplied statistics and EDA experience beyond standard pandas workflowsConversational AI or chatbot development experienceCloud platform exposure - AWS, Azure, or GCPWhy SPAR SolutionsWork on real enterprise AI problems across diverse client industries — not internal tooling or incremental maintenanceGrow fast — exposure to agentic AI, RAG, NLP, and data engineering within a single role alongside a senior teamYour contributions ship to real client deployments; ownership is real, not simulatedA team that values clean engineering and intellectual curiosity equallyCompensation competitive with current market standards for this levelContact Details:Talent Acquisition TeamHR Department / SPAR SolutionsAddress: SPAR Solutions India Pvt. Ltd.Pune IT Park, B-503, Bhau Patil Marg, 34 Aundh Road,Bopodi, Pune, Maharashtra, India.Pin Code: 411020.Website: sparsolutions.comLinkedIn: https://www.linkedin.com/company/spar-solutions-llcTwitter: https://twitter.com/sparsolutionsFacebook: https://www.facebook.com/SPARsolutionsDescription Role: AI Engineer - Agentic & Generative AIExperience: 3 to 5 years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - ComputersLocation: Pune.About SPAR SolutionsSPAR Solutions is a software and AI consulting and services firm delivering enterprise-grade solutions across diverse client industries. Our AI practice spans agentic automation, Generative AI product development, RAG-powered knowledge systems, and data-driven analytics — across the full lifecycle from research and prototyping through production deployment.About the RoleWe are looking for a mid-level Software Engineer with a strong engineering foundation and hands-on Generative and Agentic AI experience. Software engineering fundamentals: Clean code, testability, design patterns, and Delivery discipline are the baseline. Agentic and Generative AI is the focus layer you bring on top. You will contribute directly to client engagements: building agentic pipelines, integrating LLMs, and delivering well-engineered solutions alongside a senior-leaning team. In a consulting environment, the ability to ramp quickly on new domains and technologies is as valuable as your core skill set.Key Responsibilities:Agentic AI DevelopmentBuild and integrate Agentic AI workflows: tool use, memory, planning loops, and MCP integrations using frameworks such as LangChain, LangGraph, AutoGen, or CrewAIImplement RAG pipelines end-to-end: document ingestion, chunking, embedding, vector retrieval, and evaluationIntegrate LLMs via API: prompt engineering, function calling, structured outputs, and context management across providers such as OpenAI, Anthropic, and GeminiUse AI coding agents (Claude Code, Codex, Copilot, or equivalent) as part of day-to-day development; direct and validate AI-generated output effectivelySoftware EngineeringWrite clean, maintainable, production-quality Python code following SOLID principles and established design patternsApply test-driven development practices; write and maintain unit and integration tests as a standard part of deliveryParticipate in code reviews, Agile/Scrum ceremonies, and JIRA-driven delivery workflowsWork within Git-based version control; follow established branching, PR, and code review processesData & AnalyticsBuild data pipelines for ingestion, transformation, and analysis using Python, numpy, and pandasPerform exploratory data analysis; generate charts, graphs, and visual summaries using Matplotlib, Seaborn, Plotly, or equivalentContribute to data quality assessment and transformation workflows as part of broader AI solution deliveryRequired3 to 5 years of software engineering experience with strong, demonstrable Python fundamentalsHands-on experience with at least one agentic AI framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalentExperience prompting and integrating at least one major LLM - OpenAI, Anthropic Claude, Google Gemini, or similarWorking knowledge of RAG concepts - chunking strategies, embeddings, vector stores, and retrieval evaluationFamiliarity with MCP integrations and agentic workflow patternsStrong prompt engineering skills - structured, systematic, and iterative approachWell versed in use of SOLID principles, common design patterns, and clean code practicesTest-driven development and unit testing experienceProficiency with numpy, pandas, and at least one visualization library (Matplotlib, Seaborn, or Plotly)Foundational understanding of ML concepts - how models are trained, data preparation, and the purpose of fine-tuningVS Code or comparable IDE; Git version controlAgile/Scrum experienceStrong written and verbal communication - able to explain technical decisions clearly to non-technical stakeholdersAdaptable and quick to learn - comfortable switching across technology stacks and client domainsDesired:AI coding tools - Claude Code, OpenAI Codex, GitHub Copilot, or similarVector database experience - Pinecone, Weaviate, ChromaDB, Qdrant, or equivalentNLP fundamentals - tokenization, text classification, similarity, named entity recognitionApplied statistics and EDA experience beyond standard pandas workflowsConversational AI or chatbot development experienceCloud platform exposure - AWS, Azure, or GCPWhy SPAR SolutionsWork on real enterprise AI problems across diverse client industries — not internal tooling or incremental maintenanceGrow fast — exposure to agentic AI, RAG, NLP, and data engineering within a single role alongside a senior teamYour contributions ship to real client deployments; ownership is real, not simulatedA team that values clean engineering and intellectual curiosity equallyCompensation competitive with current market standards for this levelContact Details:Talent Acquisition TeamHR Department / SPAR SolutionsAddress: SPAR Solutions India Pvt. Ltd.Pune IT Park, B-503, Bhau Patil Marg, 34 Aundh Road,Bopodi, Pune, Maharashtra, India.Pin Code: 411020.Website: sparsolutions.comLinkedIn: https://www.linkedin.com/company/spar-solutions-llcTwitter: https://twitter.com/sparsolutionsFacebook: https://www.facebook.com/SPARsolutions