Design, develop, and deploy AI-powered applications and intelligent agents.
Leverage prompt engineering techniques to optimize interactions with large language models (LLMs).
Implement and integrate data pipelines and backend systems using Python and modern frameworks.
Work with Kafka, MongoDB, and other databases to handle high-volume data processing and storage.
Collaborate with product, data science, and engineering teams to design scalable AI architectures.
Optimize model performance, latency, and scalability in distributed and cloud environments.
Ensure robust testing, monitoring, and performance tuning for deployed AI applications.
Stay updated with emerging trends in AI, LLMs, and autonomous agent frameworks (e.g., LangChain, OpenAI API, AutoGen).
Required Skills & Experience :
4- 6 years of professional experience in software engineering or AI development.
Strong expertise in Python (Flask / FastAPI, asyncio, multiprocessing).
Proficiency in prompt engineering and fine-tuning large language models (LLMs).
Hands-on experience with databases (MongoDB, PostgreSQL, etc.).
Familiarity with Kafka or similar event-streaming technologies.
Understanding of distributed systems and microservices architecture.
Experience in building or integrating AI agents (LangChain, AutoGPT, etc.) is a strong plus.
Exposure to cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
Preferred Qualifications :
Bachelors or Masters degree in Computer Science, AI / ML, or related field.
Experience with vector databases, LLM orchestration frameworks, or generative AI APIs.
Familiarity with CI / CD pipelines, GitOps, and MLOps practices.
Strong analytical, problem-solving, and communication skills
(ref : hirist.tech)
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Artificial Intelligence Engineer • Gurugram
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