About organisation :
We are into transforming how businesses optimize their data operations with our industry leading data observability platform. We help organizations maximize performance, reduce costs, and ensure reliability across their complex data ecosystems including Databricks, Snowflake, BigQuery, Amazon EMR, Spark, and Kafka. Our intelligent platform empowers data teams to troubleshoot faster, automate optimization, and extract more value from their data infrastructure investments.
Role description :
We are looking for a highly skilled Python Engineer with experience in building AI Agents. The candidate will play a key role in transforming existing partial projects into scalable AI Agents and creating differentiated AI-driven products that leverage Unique Data Sources, Domain Expertise, and LLMs.
This is a high-impact role where you will work at the intersection of data engineering, applied AI, and product innovation, helping us release AI Agents rapidly to strengthen organisation market leadership.
SKILLS REQUIRED :
- 6-8 years of experience in Python development
- Strong background in data wrangling, analysis, and visualization (pandas, NumPy, matplotlib, etc.)
- Hands-on experience with LLMs, NLP, or Generative AI projects
- Working knowledge of agent frameworks (LangChain, Haystack, LlamaIndex, etc.) is preferred
- Experience in building RESTful APIs and backend services using FastAPI, Flask, or Django
- Experience working with Databricks for large-scale data engineering and analytics
- Familiarity with cloud platforms (AWS / GCP / Azure) and serverless computing
- Familiarity with the Hadoop ecosystem (HDFS, Hive, Spark, etc.) and big data processing frameworks would be a plus
- Solid grasp of software engineering principles : modularity, testing, CICD, and scalability
GOOD TO HAVE :
Exposure to MLOps pipelines and model deploymentKnowledge of vector databases (Pinecone, Weaviate, FAISS, etc.) for LLM integrationsBackground in recommendation systems or applied MLContribution to open-source AI / ML or agent frameworks.ROLES AND RESPONSIBILITIES :
Design, develop, and maintain Python-based AI / Agentic solutionsApply LLMs and GenAI techniques to enable reasoning, insights, and recommendations within AgentsCollaborate with domain experts and product managers to shape innovative AI features aligned with customer needs and business goalsConvert existing R&D projects and integrate domain-specific data sources into intelligent agentsContribute to new R&D projects for Agents via data collection, preprocessing, analysis, and presentationEnsure scalability and efficiency through serverless architectures, APIs, and microservices deployment (AWS / GCP / Azure)Stay ahead of the curve on LLM research, agent frameworks, and AI productization trends to drive continuous innovation.WHY JOIN US :
We pride ourselves in building products and services that enrich and empower the way organizations use data. Our core values support the culture we build every day, guiding what we do, why we create and who we hire.
Push boundaries - Think differently. We love to innovate, find new ways of doing things and leverage technology to simplify everything we doEntrepreneurial spirit - Bring a hunger to learn. Set goals and plans to achieve them. Be brave, remove barriers and let your curiosity guide you.Do great things, fast - Were committed to executing flawless solutions, fastWe before me - We leave our egos at the door. We celebrate wins together and learn from the losses as a teamCommunicate - The best ideas come out when we discuss them with like-minded people.(ref : hirist.tech)