Back
Who Are We
At BCE Global Tech, immerse yourself in exciting projects that are shaping the future of both consumer and enterprise telecommunications. This involves building innovative mobile apps to enhance user experiences and enable seamless connectivity on-the-go. Thrive in diverse roles like Full Stack Developer, Backend Developer, UI/UX Designer, DevOps Engineer, Cloud Engineer, Data Science Engineer, and Scrum Master; at a workplace that encourages you to share freely your bold and different ideas. If you are passionate about technology and eager to make a difference, we want to hear from you! Apply now to join our dynamic team in Bengaluru.
We are seeking a Senior AI Software Engineer to join our Agentic AI Platform team.
You will design, build, and maintain AI-powered platform services and infrastructure using modern GCP technologies.
This role is ideal for someone with a strong development background in Python, hands-on AI/ML experience, and a passion for building scalable, intelligent systems that accelerate developer productivity and enable autonomous Agentic workflows.
What You Will Do
- Design, build, and deploy AI/ML solutions using GCP Vertex AI, BigQuery ML, and AI Platform for model training, deployment, and serving
- Develop and maintain platform services for AI agent orchestration, RAG pipelines, and LLM integration using Python, FastAPI, and Flask
- Collaborate with cross-functional teams to support CI/CD pipelines for ML models, GitLab workflows, and MLOps automation
- Work with GCP services including Cloud Functions, Cloud Run, Data flow, and Pub/Sub to build event-driven AI architectures
- Build and optimize data pipelines using BigQuery, Data flow, and Apache Airflow for AI model training and inference
- Contribute to automation, observability, and reliability initiatives for AI systems using GCP Cloud Operations and New Relic
- Lead and mentor team members in AI/ML engineering best practices, fostering a culture of learning and innovation
- Explore and integrate cutting-edge AI capabilities (LLMs, vector databases, prompt engineering) into platform solutions
- Develop customized AI solutions and integrations to meet development teams requirements, leveraging GCP APIs, SDKs, and LangChain
- Create technical documentation, tutorials, and training materials to support AI/ML adoption and facilitate knowledge transfer
- Stay up to date on latest AI/ML technologies, GCP products, and industry trends, serving as a subject matter expert for the organization
- Analyze existing AI workflows and processes to identify areas for optimization and efficiency gains
- Implement scalable AI systems and tools to automate repetitive tasks, streamline ML operations, and enhance developer productivity What You Bring (Required)
Key Responsibilities
7+ years of experience in software development with 3+ years focused on AI/ML engineering, specializing in scalable AI infrastructure and model deployment
- Expert proficiency in Python for AI/ML development (TensorFlow, PyTorch)
- Hands-on experience with GCP AI/ML services (Vertex AI, BigQuery ML, AI Platform, AutoML)
- Strong familiarity with MLOps practices, model versioning, and ML pipeline orchestration (Airflow, Kubeflow)
- Experience building and deploying production AI systems including LLM integration, RAG architectures, and vector databases
- Hands-on experience with Git, Docker, and Kubernetes for containerized ML workloads
- Excellent problem-solving skills and a proactive attitude toward learning new AI technologies Nice to Have
- Experience with LangChain or other LLM orchestration frameworks
- Knowledge of vector databases and semantic search
- Experience with Agentic AI frameworks, ReAct patterns, or autonomous agent architectures
- Familiarity with prompt engineering, fine-tuning, and LLM evaluation techniques
- Knowledge of service mesh, API gateways, or event-driven architecture on GCP
- Contributions to open-source AI/ML projects or technical communities
- Experience with Cohere, Anthropic Claude, or Google Gemini
- Knowledge of testing frameworks for ML systems (unit tests, model validation, A/B testing) Tech Stack You Will Work With Category Platform Tools GCP
(Vertex AI, BigQuery, Data flow, Cloud Functions, Cloud Run, Pub/Sub)
AI/ML Frameworks Languages Python, TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, LangChain Python (primary),
Data & Pipelines BigQuery, Data flow, Apache Airflow, Apache Beam, PySpark Observability GCP Cloud Operations (Logging, Monitoring, Trace),
New Relic CI/CD GitLab, SonarQube, Snyk, GitLeaks Containerization Docker, Kubernetes, Cloud Run Vector & Search Vertex AI Vector Search, Pine cone, BigQuery, Elasticsearch LLM Integration W
What We Offer
- Competitive salaries and comprehensive health benefits
- Flexible work hours and remote work options.
- Professional development and training opportunities.
- A supportive and inclusive work environment
