{"id":1229900,"url":"https://alion.io/job/prismforce-pvt-ltd-ai-engineer","title":"AI Engineer","company":{"id":9203,"name":"Prismforce","domain":"prismforce.com","url":"https://alion.io/company/prismforce","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"AI Agents","optional":true},{"name":"Anthropic","optional":true},{"name":"Gemini","optional":true},{"name":"Llama","optional":true},{"name":"Milvus","optional":true},{"name":"Mistral","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI","optional":true},{"name":"Pinecone","optional":true},{"name":"Qwen","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-22T04:13:01Z","employer_posted_date":null,"last_verified_at":"2026-09-22T04:13:01Z","board_verified":false,"closed_at":null,"days_open":20,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":20},"description":"Key Responsibilities : \n\n- Design, develop, and deploy AI-driven applications and intelligent software solutions.\n\n- Build and optimize machine learning and deep learning models for production environments.\n\n- Develop applications leveraging Large Language Models (LLMs), Generative AI, and Natural Language Processing (NLP).\n\n- Fine-tune foundation models using domain-specific datasets and implement Retrieval-Augmented Generation (RAG) pipelines.\n\n- Develop AI services and RESTful APIs for seamless integration with enterprise applications.\n\n- Build scalable backend systems to support AI inference and model serving.\n\n- Design data pipelines for model training, evaluation, and continuous improvement.\n\n- Implement prompt engineering techniques to improve LLM performance and response quality.\n\n- Optimize model accuracy, latency, scalability, and infrastructure utilization.\n\n- Collaborate with software engineers, product managers, and data scientists throughout the product lifecycle.\n\n- Deploy AI models using containerization and orchestration technologies.\n\n- Implement MLOps practices for automated model training, deployment, monitoring, and version control.\n\n- Evaluate emerging AI technologies and recommend suitable solutions for business use cases.\n\n- Ensure AI applications meet security, governance, and responsible AI standards.\n\n- Troubleshoot production issues and continuously improve system performance.\n\nRequired Skills : \n\n- Strong programming skills in Python.\n\n- Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.\n\n- Hands-on experience with Large Language Models (LLMs) and Generative AI technologies.\n\n- Strong understanding of NLP, Transformers, Embeddings, and Vector Databases.\n\n- Experience building RAG-based applications.\n\n- Knowledge of prompt engineering and LLM optimization techniques.\n\n- Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.\n\n- Experience developing REST APIs using FastAPI or Flask.\n\n- Strong understanding of data structures, algorithms, and software engineering principles.\n\n- Experience with SQL and NoSQL databases.\n\n- Familiarity with Docker, Kubernetes, and containerized deployments.\n\n- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.\n\n- Knowledge of CI/CD pipelines and MLOps tools.\n\n- Familiarity with Git and Agile development methodologies.\n\nPreferred Qualifications : \n\n- Experience working with OpenAI, Anthropic, Google Gemini, or open-source LLMs such as Llama, Mistral, or Qwen.\n\n- Exposure to AI agents, multi-agent systems, and autonomous workflows.\n\n- Experience with vector databases such as Pinecone, Weaviate, Milvus, or ChromaDB.\n\n- Knowledge of distributed computing, GPU optimization, and model serving frameworks.\n\n- Experience with monitoring and observability tools for AI applications.\n\n- Understanding of responsible AI, model governance, and AI security best practices.\n\nSoft Skills : \n\n- Strong analytical and problem-solving abilities.\n\n- Excellent communication and collaboration skills.\n\n- Ability to work independently and in cross-functional teams.\n\n- Passion for innovation and continuous learning in AI technologies.\n\n- Strong ownership, accountability, and attention to detail.\n\n- Ability to thrive in a fast-paced product development environment.\nSkills\nArtificial Intelligence, LLM, RAG, Generative AI, NLP, MLOps, Python, PyTorch, Tensorflow, LangChain, LangGraph","description_format":"text","description_chars":3470,"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":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Human Resources","HR & Recruiting 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