Generative Ai Engineer (Python)
- Coditas Technologies
- 3 - 5 years
- Pune
- 2 months ago
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Job Description
Company Introduction
Coditas is an offshore product development organization comprised of passionate
engineers, design thinkers, data scientists, cloud professionals, and other top industry
professionals. We offer services spanning the entire length and breadth of software
development, including cutting-edge technologies such as Articial Intelligence,
Machine Learning, and Generating AI.
With over 200 clients worldwide, we are partners with multi-billion dollar and Fortune
500 clients such as JPMorgan Chase, BCG, KPMG, Reliance, HDFC, IDFC, SunPharma,
and many more. Coditas has experienced fast-paced growth thanks to an
engineering-driven culture and steadfast philosophies around writing clean code,
designing intuitive user experiences, and letting the work speak for itself.
Job Description
We are seeking a skilled Generative AI Engineer with a strong background in Python to
join our dynamic team. In this role, you will integrate backend development expertise
with the latest advancements in AI to create impactful solutions. If you excel in a
fast-paced environment and enjoy tackling complex challenges, we encourage you to
apply.
Key Responsibilities:
Generative AI Development
Develop and implement generative AI models using frameworks like LangChain
or Llama-Index.
Apply prompt engineering techniques to design effective queries and ensure
optimal LLM responses for diverse use cases.
Master advanced LLM functionalities, including prompt optimization,
hyperparameter tuning, and response caching.
Implement Retrieval-Augmented Generation (RAG) workows by integrating
vector databases like Pinecone, Weaviate, Supabase, or PGVector for ecient
similarity searches.
Work with embeddings and build solutions that leverage similarity search for
personalized query resolution.
Explore and process multimodal data, including image and video understanding
and generation.
Integrate observability tools for monitoring and evaluating LLM performance to
ensure system reliability.
Backend Engineering
Build and maintain scalable backend systems using Python frameworks such as
FastAPI, Django, or Flask.
Design and implement RESTful APIs for seamless communication between
systems and services.
Optimize database performance with relational databases (PostgreSQL, MySQL)
and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for
advanced AI workows.
Implement asynchronous programming and adhere to clean code principles for
maintainable, high-quality code.
Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability
with external systems.
Develop backend pipelines for handling multimodal data processing, and
supporting text, image, and video workows.
Manage and schedule background tasks with tools like Celery, cron jobs, or
equivalent job queuing systems.
Leverage containerization tools such as Docker for ecient and reproducible
deployments.
Ensure security and scalability of backend systems with adherence to industry
best practices.
Qualications:
Essential:
Strong Programming Skills: Prociency in Python and experience with backend
frameworks like FastAPI, Django, or Flask.
Generative AI Expertise: Knowledge of frameworks like LangChain, Llama-Index,
or similar tools, with experience in prompt engineering and Retrieval-Augmented
Generation (RAG).
Data Management: Hands-on experience with relational databases (PostgreSQL,
MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for
embeddings and similarity search.
Machine Learning Knowledge: Familiarity with LLMs, embeddings, and
multimodal AI applications involving text, images, or video.
Deployment Experience: Prociency in deploying AI models in production
environments using Docker and managing pipelines for scalability and reliability.
Testing and Debugging: Strong skills in writing and managing unit and
integration tests (e.g., Pytest), along with application debugging and
performance optimization.
Asynchronous Programming: Understanding of asynchronous programming
concepts for handling concurrent tasks eciently.
Preferred:
Cloud Prociency: Familiarity with platforms like AWS, GCP, or Azure, including
serverless applications and VM setups.
Frontend Basics: Understanding of HTML, CSS, and optionally JavaScript
frameworks like Angular or React for better collaboration with frontend teams.
Observability and Monitoring: Experience with observability tools to track and
evaluate LLM performance in real-time.
Cutting-Edge Tech: Awareness of trends in generative AI, including multimodal
AI applications and advanced agentic workows.
Security Practices: Knowledge of secure coding practices and backend system
hardening.
Certications: Relevant certications in AI, machine learning, or cloud
technologies are a plus.
For more details please visit our social media handles:
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full timeContact Details:
Company: Coditas TechnologiesLocation(s): Pune
Keyskills: Generative Ai Retrieval Augmented Generation Python
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