AI Engineer – Generative AI

Job Title :

AI Engineer – Generative AI

Location : Remote

Experience : 6+ Years

Employment Type : Full-Time

Job Description

We are seeking a highly skilled

AI Engineer

with deep expertise in

Generative AI, Agent Frameworks, and AWS Serverless technologies . The ideal candidate will have a strong foundation in Python-based AI development and hands-on experience in building, deploying, and optimizing intelligent systems using

LangChain, LangGraph, Strands API , and related frameworks.

This role involves designing

end-to-end AI solutions , including

multi-agent architectures , prompt engineering, and integration with enterprise-grade cloud systems. The candidate should bring a strong understanding of both

modern GenAI capabilities and traditional ML techniques , with the ability to navigate real-world challenges in AI development and deployment.

Key Responsibilities

AI Agent Development :

Design, build, and deploy intelligent agents and multi-agent systems using frameworks like

LangChain, LangGraph, and Strands API .

Implement autonomous workflows, context management, and memory modules for AI agents.

Optimize LLM-based systems for performance, reliability, and cost efficiency.

Prompt Engineering & Model Interaction :

Develop and refine high-quality prompts to drive consistent and accurate model responses.

Build reusable prompt templates, chains, and agent behaviors tailored to business use cases.

Evaluate prompt performance and introduce enhancements through A / B testing and fine-tuning.

Cloud & Infrastructure (AWS) :

Architect and deploy AI workloads using

AWS Bedrock

and

serverless components

(Lambda, API Gateway, DynamoDB, IAM, S3).

Integrate GenAI solutions into scalable, secure, and production-grade environments.

Automate pipelines for model deployment, versioning, and monitoring.

Research & Experimentation :

Stay updated with the latest in

LLM models, agent architectures, retrieval-augmented generation (RAG) , and

AI orchestration frameworks .

Experiment with new GenAI tools and APIs to enhance solution capabilities.

Identify pitfalls, risks, and ethical challenges of AI implementation and propose mitigation strategies.

Collaboration & Communication :

Work closely with product managers, data scientists, and software engineers to define AI solution requirements.

Communicate complex technical concepts clearly to non-technical stakeholders.

Contribute to documentation, demos, and knowledge-sharing sessions.

Required Skills & Experience

6+ years

of overall experience in AI / ML software development.

Strong proficiency in

Python

and experience with frameworks such as

LangChain, LangGraph, and Strands API .

Proven experience in building and deploying

Generative AI agents

and

multi-agent systems .

Expertise in

prompt engineering

and advanced LLM orchestration patterns.

Hands-on experience with

AWS Bedrock

and

AWS serverless technologies

(Lambda, API Gateway, DynamoDB, IAM, S3).

Deep understanding of the

pitfalls and challenges in modern AI systems

(e.g., hallucination, bias, scaling issues).

Excellent

verbal and written communication skills .

Bonus Skills

Knowledge of

traditional machine learning techniques

– regression, classification, clustering, deep learning, reinforcement learning.

Strong

mathematical and statistical foundation .

Familiarity with

model evaluation, fine-tuning, and RAG pipelines .

Experience integrating

AI into enterprise-scale applications

or data platforms.