AI Engineer (GenAI Applications)

ABOUT THE ROLE

We are seeking a skilled AI Engineer with 2–3 years of experience to join our dynamic team. The ideal

candidate has hands-on experience building applications powered by Generative AI — primarily by

integrating existing foundation models via APIs and fine-tuning lightweight open-source models for

specific use cases, rather than training models from scratch. You will collaborate with cross-functional

teams to develop and deploy AI-powered features that enhance our product offerings.

KEY RESPONSIBILITIES

• Design and build AI-powered features using existing GenAI models (OpenAI, Anthropic,

Gemini, etc.) via their APIs for text, image, and multimodal tasks.

• Fine-tune or adapt lightweight open-source models (e.g., using LoRA/QLoRA, PEFT) for

domain-specific use cases when off-the-shelf models fall short.

• Build robust prompt engineering pipelines, including prompt design, evaluation, and iteration

for consistent, reliable outputs.

• Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases

(pgvector, Pinecone, Weaviate, etc.) to ground model outputs in proprietary data.

• Design and orchestrate multi-step AI workflows/agents (tool use, function calling, chaining) for

complex tasks.

• Manage the end-to-end lifecycle of AI features: data preparation, model/API selection,

evaluation, integration, and deployment.

• Collaborate with backend/frontend engineers and product managers to integrate AI

capabilities into existing systems and products.

• Monitor and optimize model performance, latency, and cost (token usage, API costs,

inference costs for self-hosted models).

• Stay current with the fast-evolving GenAI landscape (new model releases, APIs, techniques)

and evaluate their applicability to our product.

• Ensure ethical AI practices — fairness, transparency, data privacy, and responsible handling

of user data sent to third-party model APIs.

REQUIRED QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, AI/ML, or a related field (or equivalent

practical experience).

• 2–3 years of hands-on experience building applications using GenAI/LLM APIs (OpenAI,

Anthropic, Google, etc.).

• Strong Python skills, with experience calling and orchestrating AI APIs in production systems.
• Practical experience with prompt engineering, structured outputs, and function/tool calling.
• Experience fine-tuning or adapting pre-trained/open-source models (Hugging Face

ecosystem, LoRA/QLoRA/PEFT) for specific tasks.

• Experience building RAG pipelines — embeddings, vector search, chunking strategies,

retrieval evaluation.

• Familiarity with agent frameworks/orchestration (LangChain, LangGraph, LlamaIndex, or

similar).

• Understanding of transformer architecture fundamentals — enough to reason about model

behavior, limitations, and fine-tuning trade-offs (deep training-from-scratch expertise not

required).

iSummation Technologies Pvt Ltd

• Experience with cloud platforms (AWS, GCP, Azure) for hosting lightweight models and API based services.
• Strong problem-solving skills and ability to work collaboratively in a fast-moving environment.

PREFERRED SKILLS

• Experience with model evaluation frameworks (e.g., LangSmith, Ragas, custom eval

harnesses) for measuring GenAI output quality.

• Familiarity with MLOps/LLMOps practices — versioning prompts, monitoring model drift, cost

tracking, CI/CD for AI features.

• Experience with computer vision APIs/models (OCR, image generation/editing APIs, vision language models) for multimodal use cases.
• Knowledge of responsible AI practices — bias mitigation, hallucination detection, guardrails,

and content moderation for GenAI outputs.

• Experience with self-hosted inference (vLLM, Ollama, or similar) for lightweight fine-tuned

models.

Experience: 2-3 years

Experience Preferred: Build applications using GenAI/LLM APIs & Strong

Python skills

Location: Bodakdev, Ahmedabad (WFO)

Company Profile: https://www.isummation.com/