Generative AI Engineer

5 days ago

Noida, Uttar Pradesh, India Acompworld Technosoft Pvt Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Noida

2-4 Years

As per Company Standards

We're seeking an engineer who's eager to design, build, and deploy next-generation Agentic AI systems. You'll translate cutting-edge LLM research into real-world applications—developing autonomous workflows, RAG pipelines, and model-driven services that operate reliably at scale. This position blends applied ML engineering with modern AI development frameworks and offers deep hands-on exposure across the GenAI lifecycle.

Job Responsibilities

AI Application Development – Design and orchestrate intelligent systems using modern generative and agentic AI frameworks; implement retrieval-augmented and fine-tuned model pipelines.

Model Engineering – Integrate and customize large language models; design structured prompts, evaluation logic, and lightweight tuning workflows to enhance contextual accuracy, speed, and cost.

API & Service Deployment – Develop scalable REST / FastAPI services, containerize them for cloud deployment, and apply MLOps best practices for versioning and monitoring.

Data & Vector Pipelines – Develop embedding pipelines, manage vectordatabases, and collaborate with data engineers for preprocessing and retrievaloptimization.

Required Skills

Skills & Experience

Programming & ML Foundations: Proficiency in Python with knowledge of data handling, ML pipelines, and deep-learning concepts.

Generative AI Frameworks: Experience with LangChain / LangGraph / CrewAI / DSPy, or similar agentic toolkits.

Vector Databases & Retrieval: Practical use of Milvus / Pinecone / ChromaDB / FAISS, or Azure AI Search for contextual search and embeddings.

Cloud & Deployment: Exposure to Azure OpenAI, AWS Bedrock, or Vertex AI; containerization with Docker / Kubernetes; CI/CD using GitHub or Azure DevOps.

MLOps & Monitoring: Familiar with MLFlow / Arize Phoenix / Weights & Biases, or equivalent tools for model tracking and observability.

Prompt & Model Evaluation: Ability to design and test prompt templates using structured evaluation frameworks like AgentEval / DeepEval for quantitative and qualitative assessment.

Nice to Have

Bachelor's degree in Computer Science, AI/ML, or related field.

Experience building LLM-based assistants or retrieval systems.

Familiarity with Cursor, Claude Code or AI-assisted development environments.

Contributions to open-source AI/ML projects or applied research.

Understanding of Responsible AI, data privacy, and model governance.

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