AI Engineer's - Pune, India

EIRIS; Pune District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

EIRIS, located in Pune, India, is seeking an AI Engineer to design and deploy Generative AI solutions. This role involves close collaboration with business and product teams to create scalable AI systems that deliver measurable business impact.

The ideal candidate should have 5+ years of experience, strong expertise in LLMs, and proficiency in Python and relevant frameworks. At EIRIS, you'll drive innovation in the utility industry through advanced AI capabilities.

Qualifications

• 5–9 years of experience in data science, ML engineering, or AI development.
• 2+ years focused on Generative AI.
• Experience with fine-tuning techniques like LoRA and PEFT.

Responsibilities

• Design, train, fine-tune, and evaluate Generative AI models.
• Develop and optimize prompt engineering and RAG pipelines.
• Collaborate with teams to translate business problems into GenAI solutions.

Skills

Generative AI

Large Language Models (LLMs)

Model training and fine-tuning

Python

Prompt engineering

MLOps

Multi-agent systems

Data privacy awareness

Education

Bachelor’s or master’s degree in computer science, Data Science, AI, or a related field

Tools

LangChain

Hugging Face

Job description

As AI becomes a core enabler of enterprise transformation, we are seeking an AI Engineer who can design, train, fine-tune, and deploy Generative AI solutions while working closely with business stakeholders to define high-impact use cases. The role will be based in Pune, India with close collaboration across delivery, product, and business development teams.

The AI Engineer will be responsible for building and operationalizing AI capabilities across EIRIS’s platform and client engagements. This role blends hands- on model development, prompt and pipeline engineering, MLOps, and business-facing solution design.

The ideal candidate combines deep technical expertise in LLMs, GenAI and Agentic frameworks with strong business understanding, enabling them to translate real-world problems into scalable GenAI solutions with measurable impact.

Key responsibilities

• Design, train, fine-tune, and evaluate Generative AI models (LLMs, multimodal models) for enterprise use cases.
• Develop and optimize prompt engineering, RAG pipelines, agents, and fine-tuning workflows.
• Design, develop, and optimize a multi‑agent agentic framework that enables autonomous, domain‑aware collaboration across specialized agents.
• Work with open-source and commercial LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.).
• Implement guardrails, safety mechanisms, and hallucination mitigation techniques.
• Partner with business, consulting, and product teams to identify, evaluate, and prioritize GenAI use cases.
• Translate business problems into clear GenAI solution architectures and success metrics.
• Create solution blueprints, prototypes, and POCs to demonstrate business value.
• Design and manage data pipelines for AI training, fine-tuning, and inference.
• Build scalable, secure, and cost-efficient GenAI systems for production environments.
• Collaborate with engineering teams on deployment, monitoring, and retraining strategies.
• Monitor model performance, latency, cost, and drift in production.
• Ensure responsible, ethical, and compliant use of Generative AI.
• Implement explainability, auditability, and traceability mechanisms where required.
• Address data privacy, IP protection, and regulatory constraints (e.g., GDPR).
• Define and enforce AI best practices, standards, and usage guidelines.

Qualifications

• Prior 5–9 years of experience in data science, ML engineering, or AI development, with 2+ years focused on Generative AI.
• Strong hands-on experience with LLMs, transformers, embeddings, and vector databases.
• Proficiency in Python and GenAI frameworks (LangChain, LlamaIndex, Haystack, Hugging Face, etc.).
• Experience with fine-tuning techniques (LoRA, PEFT, instruction tuning).
• Experience designing multi‑agent systems, including orchestration, coordination, and distributed reasoning.
• Familiarity with MLOps tools, CI/CD pipelines, and model monitoring.
• Familiarity with 3D deep learning and large scale point cloud processing is a plus.
• Experience working in fast paced startup environment (preferred).
• Bachelor’s or master’s degree in computer science, Data Science, AI, or a related field.

Preferred skills

• GenAI Expertise: Deep understanding of LLMs, RAG, agents, and multimodal AI.
• Business Orientation: Ability to define GenAI use cases tied to measurable business outcomes.
• Problem Solving: Translates ambiguity into structured AI solutions.
• Engineering Mindset: Builds scalable, secure, and production-ready systems.
• Communication: Effectively explains AI concepts to non-technical stakeholders.
• Ownership: Takes end-to-end responsibility from idea to production.
• Adaptability: Thrives in a fast-paced, rapidly evolving AI landscape.
• Ethical Awareness: Strong focus on responsible AI and governance.

About EIRIS

Eiris is an innovative technology startup dedicated to developing solutions for the utility industry. At Eiris, we empower the future of network resilience across electric, telecommunications, and gas industries through interoperable and standards-based software solutions.

Our Energy solutions seamlessly integrate renewable energy sources into existing grids, enhancing the stability and scalability of downstream assets. Automating workflows across the entire network infrastructure lifecycle, our solution enables utility companies and energy producers to meet the evolving demands of modern energy ecosystems.