{"id":1315988,"url":"https://alion.io/job/spar-solutions-ai-engineer-agentic-generative-ai","title":"AI Engineer - Agentic & Generative AI","company":{"id":3813216,"name":"SPAR Solutions","domain":"sparsolutions.com","url":"https://alion.io/company/spar-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":62000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Matplotlib","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Plotly","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Seaborn","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"Tokenization","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-08T04:58:27Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-09-26T22:06:49Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Description\nRole: AI Engineer - Agentic & Generative AI\nExperience: 3 to 5 years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;\nPG - M.Sc. - Computers, M.Tech - Any Specialization, MCA - Computers\nLocation: Pune.\nAbout SPAR Solutions\nSPAR 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.\nAbout the Role\nWe 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.\nKey Responsibilities:\nAgentic AI Development\nBuild and integrate Agentic AI workflows: tool use, memory, planning loops, and MCP integrations using frameworks such as LangChain, LangGraph, AutoGen, or CrewAI\nImplement RAG pipelines end-to-end: document ingestion, chunking, embedding, vector retrieval, and evaluation\nIntegrate LLMs via API: prompt engineering, function calling, structured outputs, and context management across providers such as OpenAI, Anthropic, and Gemini\nUse AI coding agents (Claude Code, Codex, Copilot, or equivalent) as part of day-to-day development; direct and validate AI-generated output effectively\nSoftware Engineering\nWrite clean, maintainable, production-quality Python code following SOLID principles and established design patterns\nApply test-driven development practices; write and maintain unit and integration tests as a standard part of delivery\nParticipate in code reviews, Agile/Scrum ceremonies, and JIRA-driven delivery workflows\nWork within Git-based version control; follow established branching, PR, and code review processes\nData & Analytics\nBuild data pipelines for ingestion, transformation, and analysis using Python, numpy, and pandas\nPerform exploratory data analysis; generate charts, graphs, and visual summaries using Matplotlib, Seaborn, Plotly, or equivalent\nContribute to data quality assessment and transformation workflows as part of broader AI solution delivery\nRequired\n3 to 5 years of software engineering experience with strong, demonstrable Python fundamentals\nHands-on experience with at least one agentic AI framework - LangChain, LangGraph, AutoGen, CrewAI, or equivalent\nExperience prompting and integrating at least one major LLM - OpenAI, Anthropic Claude, Google Gemini, or similar\nWorking knowledge of RAG concepts - chunking strategies, embeddings, vector stores, and retrieval evaluation\nFamiliarity with MCP integrations and agentic workflow patterns\nStrong prompt engineering skills - structured, systematic, and iterative approach\nWell versed in use of SOLID principles, common design patterns, and clean code practices\nTest-driven development and unit testing experience\nProficiency with numpy, pandas, and at least one visualization library (Matplotlib, Seaborn, or Plotly)\nFoundational understanding of ML concepts - how models are trained, data preparation, and the purpose of fine-tuning\nVS Code or comparable IDE; Git version control\nAgile/Scrum experience\nStrong written and verbal communication - able to explain technical decisions clearly to non-technical stakeholders\nAdaptable and quick to learn - comfortable switching across technology stacks and client domains\nDesired:\nAI coding tools - Claude Code, OpenAI Codex, GitHub Copilot, or similar\nVector database experience - Pinecone, Weaviate, ChromaDB, Qdrant, or equivalent\nNLP fundamentals - tokenization, text classification, similarity, named entity recognition\nApplied statistics and EDA experience beyond standard pandas workflows\nConversational AI or chatbot development experience\nCloud platform exposure - AWS, Azure, or GCP\nWhy SPAR Solutions\nWork on real enterprise AI problems across diverse client industries - not internal tooling or incremental maintenance\nGrow fast - exposure to agentic AI, RAG, NLP, and data engineering within a single role alongside a senior team\nYour contributions ship to real client deployments; ownership is real, not simulated\nA team that values clean engineering and intellectual curiosity equally\nCompensation competitive with current market standards for this level\nContact Details:\nTalent Acquisition Team\nHR Department / SPAR Solutions\nAddress: SPAR Solutions India Pvt. Ltd.\nPune IT Park, B-503, Bhau Patil Marg, 34 Aundh Road,\nBopodi, Pune, Maharashtra, India.\nPin Code: 411020.\nWebsite: sparsolutions.com\nLinkedIn: https://www.linkedin.com/company/spar-solutions-llc\nTwitter: https://twitter.com/sparsolutions\nFacebook: https://www.facebook.com/SPARsolutions","description_format":"text","description_chars":5210,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Professional Services","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-26T18:37:05Z"}],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.666,"p_room":0.55,"age_days":19,"expected_fill_days":17,"reasons":["conf:7","velocity","win:tail"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/spar-solutions-ai-engineer-agentic-generative-ai","json_url":"https://alion.io/job/spar-solutions-ai-engineer-agentic-generative-ai.json","meta":{"generated_at":"2026-09-28T05:16:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3477,"day_limit":5000,"remaining_today":1523,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}