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Senior Software Engineer - Generative AI Solutions

CAREERDOST ENTERPRISE
Multiple Locations
8 - 16 Years

Posted on: 02/01/2026

Job Description

Description :


Role : Senior Software Engineer

Location- Remote

Experience- 8-16 Years

Budget 65-70 LPA

Shifts- 1PM -10 PM IST

Employment Type- FTE

Are you excited about the prospect of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management?


Then come, advance with us. This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. Youll help define every

aspect of the user journey, product vision, and technical roadmapdriving innovation from concept to delivery.


There has never been a better time to join us. With multiple acquisitions expanding our portfolio and market strategy, were experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Veltris is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differencesnot despite them.


Our AI Core group is pioneering platforms and solutions for Generative AI from AI Agents, RAG, and Knowledge Bases to Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship products while enabling entirely new offerings.


Together, were driving a fundamental shift in how businesses manage networksbuilding intelligent, highperformance multi-agent systems that perceive, learn, and act in real time.


At Veltris, innovation isnt just encouragedits expected. Advance with us and help shape the future of network intelligence.


Job Responsibilities :


- Serve as a thought leader and forward thinkerdriving innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation


- Lead the full software development lifecycle (design, testing, deployment, and operations), guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation


- Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks


- Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale


Requirements :


- Degree in Computer Science, Mathematics, or a related field


- 8+ years of full SDLC experience (design, coding, reviews, testing, deployment, operations)


- 5+ years of experience building and deploying end-to-end ML solutions or platforms in production


- Hands-on experience developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production


- Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP)


- Strong ability to solve complex, ambiguous problems


Preferred Qualifications :


- MS/PhD in Computer Science, Machine Learning, or a related discipline


- Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG)


- Experience with distributed Big Data technologies (e.g., Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue


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