21 days ago
Pune, IndiaSenior
Responsibilities
- Assist with the architecture and delivery of enterprise-grade Generative AI, LLM, and agentic systems, including copilots, assistants, and multi-agent workflows.
- Design planning, orchestration, reviewer, evaluator, and execution agents with human-in-the-loop controls, safety mechanisms, and monitoring.
- Translate business and investment challenges into scalable architectures and production-ready AI services.
- Develop LLM-powered applications and RAG solutions using commercial or open-source models, semantic and hybrid search, embeddings, knowledge bases, reranking, and retrieval optimization.
- Establish LLMOps capabilities covering prompt lifecycle management, model evaluation, observability, performance and cost monitoring, testing, validation, and responsible AI controls.
- Build React and TypeScript front ends, Python or Java back ends, APIs, microservices, and reliable data and analytics solutions.
- Support cloud-native, event-driven, distributed, containerized, and infrastructure-as-code engineering practices with automated testing, monitoring, logging, and site reliability practices.
- Aid the design of classification, ranking, recommendation, forecasting, and other predictive or analytical models with feature engineering, explainability, and robust validation.
- Define technical strategy, architecture, and reusable engineering patterns while helping move prototypes from proof of concept to enterprise deployment.
- Partner with product managers, business stakeholders, use-case owners, and control functions to manage priorities, dependencies, trade-offs, and measurable outcomes.
Requirements
- Hands-on software engineering experience designing and delivering enterprise-scale distributed applications and production-grade AI or Generative AI solutions.
- Expertise in ReactJS and TypeScript with strong Python or Java engineering skills and practical API, microservices, and asynchronous application design experience.
- Experience with FastAPI, Spring Boot, BigQuery, PostgreSQL, cloud-native architectures, Git-based development, CI/CD, Docker, Kubernetes, infrastructure as code, observability, and automated testing.
- Practical expertise in LLM applications, AI agents, RAG architectures, vector databases, semantic or hybrid search, model evaluation, and LLMOps.
- Experience with orchestration, evaluation, and observability tools relevant to AI and LLM systems.
- Solid grounding in machine learning, feature engineering, model explainability, analytical modeling, and relevant Python machine learning libraries.
- Strong understanding of financial markets and investment products is highly desirable, including asset management, ETFs or mutual funds, and metrics such as Sharpe Ratio, Information Ratio, Sortino Ratio, Alpha, Beta, and Tracking Error.
- Strong engineering ownership, judgment, problem-solving, stakeholder management, communication, collaboration, and ability to structure ambiguity and make pragmatic technical decisions.
- Ability to support delivery across the engineering lifecycle, establish standards and working practices, manage dependencies and trade-offs, and focus on measurable business and user outcomes.
- Bachelor’s degree in Computer Science, Engineering, Science, or a related discipline, or equivalent professional experience.
- Ability to use AI tools to improve productivity and workflows while applying critical judgment for responsible and ethical use of data and AI outputs.
Benefits
- Best-in-class leave policy, gender-neutral parental leave, childcare assistance reimbursement, and flexible benefits.
- Sponsorship for industry-relevant certifications and education.
- Employee Assistance Program for employees and family members.
- Comprehensive hospitalization insurance for employees and dependents, plus accident and term life insurance.
- Complimentary health screening for employees aged 35 and above.
- Training, development, coaching, expert support, and a culture of continuous learning.
- Location: Pune, India.
Tech Stack
DockerFastAPIGitGoogle BigQueryJavaKubernetesMLflowPostgreSQLPythonPyTorchReactscikit-learnSpring BootTerraformTypeScript
Categories
About DWS Group
DWS Group is a global asset manager that provides active, passive (Xtrackers ETFs), and alternative investment products for institutions, financial intermediaries, and individual investors. It earns management and performance fees across mutual funds and bespoke mandates, managing over €1 trillion in assets. Founded in 1956 and headquartered in Frankfurt, DWS is publicly listed in Germany and remains majority-owned by Deutsche Bank.