AI Software Engineer

Job Title: Senior AI Software Engineer (Syensqo.AI)

Project Location: Pune, Maharashtra, India (Hybrid – 3 days onsite)
Office Location: Koregaon Park, Pune
Time Zone: CET

he Role

We are seeking a Senior AI Software Engineer to design and deliver cutting-edge AI-driven solutions in a fast-paced, agile environment. You will work closely with cross-functional teams to build scalable, high-performance AI platform features that support business innovation and digital transformation.

This role is ideal for someone passionate about Generative AI, machine learning, and cloud-native architectures, who enjoys solving complex problems and contributing to meaningful technological advancements.

Key Responsibilities

• Collaboration & Innovation:
  Partner with product managers, designers, and engineers to deliver best-in-class AI-enabled features.

• AI Integration:
  Implement and integrate AI technologies such as Generative AI, Machine Learning models, and NLP to enhance platform capabilities and user experience.

• Platform Development:
  Design, develop, and maintain scalable AI platform components compatible with microservices, APIs, and enterprise systems.

• Problem Solving:
  Rapidly troubleshoot and resolve issues related to AI model performance, integrations, and data pipelines.

• Continuous Improvement:
  Participate in code reviews and contribute to improving AI development standards, scalability, and maintainability.

• Technology Awareness:
  Stay current with industry trends and emerging technologies in AI, ML, cloud services, and DevOps.

Required Skills & Experience

Technical Experience

• Minimum 4+ years of experience as a Software Engineer

• Proven experience in AI product development

• Strong programming skills in Python (Java, Scala, or C# are a plus)

• Experience with microservices architecture (GraphQL is a plus)

• Knowledge of data formats and structures (JSON Schema, Avro)

• Hands-on experience with DevOps tools: Jenkins, Docker

• Exposure to MLOps / LLMOps / AIOps and model deployment

• Strong understanding of AI/ML/GenAI concepts, including:

  • AI workflows

  • Model training, evaluation, and scoring

  • Prompt engineering, guardrails, and RAG

• Experience with cloud platforms: Azure, AWS, or GCP

• Familiarity with Agile/SCRUM methodologies

• Experience using collaboration tools like JIRA, Trello

Preferred / Nice to Have

• Distributed systems and architectures (Akka concepts)

• NLP project experience

• Knowledge of software design patterns and best practices

• Cloud certifications

• French language proficiency (English is mandatory)