AI Engineer (Agentic & Generative AI)

Stark Digital Media Services Pvt. Ltd.; Maharashtra; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Stark Digital Media Services Pvt. Ltd. in Pune seeks an experienced AI/ML engineer to design, build, and ship AI solutions for real client problems.

You will own features from prototype to production, working with our full-stack and delivery teams to deliver end-to-end GenAI apps, agents, and document-intelligence pipelines. The role requires 2+ years of hands-on AI/ML experience, strong Python skills (FastAPI/Flask), and practical knowledge of LLM APIs, RAG pipelines, and vector stores.

Qualifications

• 2+ years hands-on AI/ML application development.
• Proficient in Python; knowledge of FastAPI or Flask.
• Hands-on with LLM APIs (OpenAI, Anthropic, Gemini, or open-source).
• Built at least one end-to-end RAG system or agent, including embeddings and a vector store (pgvector, Pinecone, Qdrant, FAISS, etc.).
• Prompt engineering, structured outputs, and function/tool calling.
• Git, REST APIs, JSON, SQL, and Docker basics.
• Clear written and verbal communication; able to explain AI limits to non-technical clients.

Responsibilities

• Build agentic AI systems: tool-calling agents and multi-step workflows.
• Develop GenAI apps using LLM APIs, RAG pipelines, vector stores.
• Implement voice AI and WhatsApp/chat agents with STT/TTS and telephony.
• Integrate AI services with client systems via REST APIs, webhooks, CRMs.
• Deploy and evaluate local language models where data residency applies.
• Create document digitization and OCR pipelines with the team.
• Monitor production quality, latency, and cost; address hallucinations.
• Contribute to client demos, POCs, scoping, and documentation.
• Share best practices via AI-assisted development tools.

Skills

AI/ML development

Problem solving

Clear communication

Team collaboration

Tools

Python

FastAPI

Flask

LLM APIs

RAG pipelines

Vector databases

pgvector

Pinecone

Qdrant

FAISS

Embeddings

Prompt engineering

Function/tool calling

Git

REST APIs

JSON

SQL

Docker

Job description

You will design, build, and ship AI solutions for real client problems. Your work includes agents that run multi-step business processes, LLM-powered applications, voice and WhatsApp agents, and document-intelligence pipelines. You will own features from prototype to production, working with our full-stack and delivery teams.

PuneFull-Time

Responsibilities

• Build agentic AI systems: tool-calling agents, multi-step workflow automation, and human-in-the-loop flows
• Develop GenAI applications using LLM APIs, RAG pipelines, vector databases, and prompt and evaluation frameworks
• Implement voice AI and WhatsApp/chat agents, including STT/TTS, telephony, and conversational flow design
• Integrate AI services with client systems through REST APIs, webhooks, CRMs, and databases
• Deploy and evaluate small or local language models where cost, privacy, or data-residency requirements apply
• Build document digitization and OCR pipelines in collaboration with the team
• Monitor quality, latency, and cost in production, and iterate on hallucination control, guardrails, and accuracy
• Contribute to client demos, POCs, technical scoping, and documentation
• Use AI-assisted development tools to ship faster and share good practices with the team

Requirements

• 2+ years of hands-on experience building AI/ML-powered applications (not only coursework or notebooks)
• Strong Python; working knowledge of FastAPI or Flask
• Practical experience with LLM APIs (OpenAI, Anthropic, Gemini, or open-source models)
• Built at least one RAG system or agent end to end, including embeddings and a vector store (pgvector, Pinecone, Qdrant, FAISS, etc.)
• Prompt engineering, structured outputs, and function/tool calling
• Git, REST APIs, JSON, SQL, and Docker basics
• Clear written and verbal communication; able to explain AI limits to non-technical clients